sig.ca.dim.perm: Permuted significance of CA dimensions

Description Usage Arguments Examples

Description

This function allows you to calculate the permuted significance of selected CA dimensions. Number of permutation set at 999. Since the function returns a scatterplot, the function requires that two dimensions are entered.

Usage

1

Arguments

data

Name of the dataset.

x

First dimension whose significance is calculated.

y

Second dimension whose significance is calculated.

Examples

1
sig.ca.dim.perm(data, 1,2) Returns a scatterplot of the permuted inertia of the 1 CA dimension against the permuted inertia of the 2 CA dimension. Observed inertia of the selected dimensions and 95th percentile of the permuted inertias are also displayed for testing the significance of the observed inertias.

trinker/CAinterprTools documentation built on May 31, 2019, 7:54 p.m.